Materials genome engineering accelerates the research and development of organic and perovskite photovoltaics DOI Creative Commons
Ying Shang,

Ziyu Xiong,

Kang An

и другие.

Materials Genome Engineering Advances, Год журнала: 2024, Номер 2(1)

Опубликована: Март 1, 2024

Abstract The emerging photovoltaic (PV) technologies, such as organic and perovskite PVs, have the characteristics of complex compositions processing, resulting in a large multidimensional parameter space for development optimization technologies. Traditional manual methods are time‐consuming labor‐intensive screening optimizing material properties. Materials genome engineering (MGE) advances an innovative approach that combines efficient experimentation, big database artificial intelligence (AI) algorithms to accelerate materials research development. High‐throughput (HT) platforms perform experimental tasks rapidly, providing amount reliable consistent data creation databases. Therefore, novel combining HT AI can design application, which is beneficial establishing material‐processing‐property relationships overcoming bottlenecks PV This review introduces key technologies involved MGE overviews accelerating role field PVs.

Язык: Английский

Artificial intelligence: A powerful paradigm for scientific research DOI Creative Commons
Yongjun Xu, Xin Liu, Xin Cao

и другие.

The Innovation, Год журнала: 2021, Номер 2(4), С. 100179 - 100179

Опубликована: Окт. 29, 2021

•"Can machines think?" The goal of artificial intelligence (AI) is to enable mimic human thoughts and behaviors, including learning, reasoning, predicting, so on.•"Can AI do fundamental research?" coupled with machine learning techniques impacting a wide range sciences, mathematics, medical science, physics, etc.•"How does accelerate New research applications are emerging rapidly the support by infrastructure, data storage, computing power, algorithms, frameworks. Artificial promising (ML) well known from computer science broadly affecting many aspects various fields technology, industry, even our day-to-day life. ML have been developed analyze high-throughput view obtaining useful insights, categorizing, making evidence-based decisions in novel ways, which will promote growth fuel sustainable booming AI. This paper undertakes comprehensive survey on development application different information materials geoscience, life chemistry. challenges that each discipline meets, potentials handle these challenges, discussed detail. Moreover, we shed light new trends entailing integration into scientific discipline. aim this provide broad guideline sciences potential infusion AI, help motivate researchers deeply understand state-of-the-art AI-based thereby continuous sciences.

Язык: Английский

Процитировано

993

Recent progress in organic solar cells (Part I material science) DOI
Yahui Liu, Bowen Liu, Chang‐Qi Ma

и другие.

Science China Chemistry, Год журнала: 2021, Номер 65(2), С. 224 - 268

Опубликована: Дек. 27, 2021

Язык: Английский

Процитировано

511

Recent advances in PM6:Y6-based organic solar cells DOI
Qing Guo, Qiang Guo, Yanfang Geng

и другие.

Materials Chemistry Frontiers, Год журнала: 2021, Номер 5(8), С. 3257 - 3280

Опубликована: Янв. 1, 2021

This review provides a detailed overview of PM6:Y6-based organic solar cells (OSCs), including the underlying mechanisms, terpolymers derived from PM6, ternary or quaternary OSCs, interfacial engineering and electrode progress.

Язык: Английский

Процитировано

190

A time and resource efficient machine learning assisted design of non-fullerene small molecule acceptors for P3HT-based organic solar cells and green solvent selection DOI
Asif Mahmood, Jin‐Liang Wang

Journal of Materials Chemistry A, Год журнала: 2021, Номер 9(28), С. 15684 - 15695

Опубликована: Янв. 1, 2021

A time and money efficient machine learning assisted design of non-fullerene small molecule acceptors for P3HT based organic solar cells is reported. Green solvents are also selected using predicted Hansen solubility parameters.

Язык: Английский

Процитировано

184

Benzothiadiazole-based non-fullerene acceptors DOI

Qingling Nie,

Ailing Tang,

Qiang Guo

и другие.

Nano Energy, Год журнала: 2021, Номер 87, С. 106174 - 106174

Опубликована: Май 21, 2021

Язык: Английский

Процитировано

181

Machine learning and molecular dynamics simulation-assisted evolutionary design and discovery pipeline to screen efficient small molecule acceptors for PTB7-Th-based organic solar cells with over 15% efficiency DOI
Asif Mahmood, Ahmad Irfan, Jin‐Liang Wang

и другие.

Journal of Materials Chemistry A, Год журнала: 2022, Номер 10(8), С. 4170 - 4180

Опубликована: Янв. 1, 2022

A multi-stage machine learning and molecular dynamics simulation-assisted pipeline is introduced for the time- cost-efficient design screening of small molecule acceptors organic solar cells.

Язык: Английский

Процитировано

161

Recent advances in n-type and ambipolar organic semiconductors and their multi-functional applications DOI
Yihan Zhang,

Yongshuai Wang,

Can Gao

и другие.

Chemical Society Reviews, Год журнала: 2023, Номер 52(4), С. 1331 - 1381

Опубликована: Янв. 1, 2023

A comprehensive summary and deep insights into the synthesis, characterization multi-functional device applications of n-type ambipolar organic semiconductors are provided in this study.

Язык: Английский

Процитировано

160

A Synergistic Strategy of Manipulating the Number of Selenophene Units and Dissymmetric Central Core of Small Molecular Acceptors Enables Polymer Solar Cells with 17.5 % Efficiency DOI
Can Yang, Qiaoshi An,

Hairui Bai

и другие.

Angewandte Chemie International Edition, Год журнала: 2021, Номер 60(35), С. 19241 - 19252

Опубликована: Июнь 3, 2021

Abstract A dissymmetric backbone and selenophene substitution on the central core was used for synthesis of symmetric or A‐DA′D‐A type non‐fullerene small molecular acceptors (NF‐SMAs) with different numbers selenophene. From S‐YSS‐Cl to A‐WSSe‐Cl S‐WSeSe‐Cl , a gradually red‐shifted absorption larger electron mobility crystallinity in neat thin film observed. exhibit stronger tighter intermolecular π–π stacking interactions, extra S⋅⋅⋅N non‐covalent interactions from benzothiadiazole, better ordered 3D interpenetrating charge‐transfer networks comparison thiophene‐based . The ‐based device has PCE 17.51 %, which is highest value selenophene‐based NF‐SMAs binary polymer solar cells. combination precise replacement effective improve J sc FF without sacrificing V oc

Язык: Английский

Процитировано

157

Machine learning for advanced energy materials DOI Creative Commons
Liu Yun, Oladapo Christopher Esan, Zhefei Pan

и другие.

Energy and AI, Год журнала: 2021, Номер 3, С. 100049 - 100049

Опубликована: Янв. 24, 2021

The screening of advanced materials coupled with the modeling their quantitative structural-activity relationships has recently become one hot and trending topics in energy due to diverse challenges, including low success probabilities, high time consumption, computational cost associated traditional methods developing materials. Following this, new research concepts technologies promote development necessary. latest advancements artificial intelligence machine learning have therefore increased expectation that data-driven science would revolutionize scientific discoveries towards providing paradigms for Furthermore, current advances engineering also demonstrate application technology not only significantly facilitate design but enhance discovery deployment. In this article, importance necessity contributing global carbon neutrality are presented. A comprehensive introduction fundamentals is provided, open-source databases, feature engineering, algorithms, analysis model. Afterwards, progress alkaline ion battery materials, photovoltaic catalytic dioxide capture discussed. Finally, relevant clues successful applications remaining challenges highlighted.

Язык: Английский

Процитировано

154

Non-fullerene acceptors with hetero-dihalogenated terminals induce significant difference in single crystallography and enable binary organic solar cells with 17.5% efficiency DOI
Lai Wang, Qiaoshi An, Yan Lü

и другие.

Energy & Environmental Science, Год журнала: 2021, Номер 15(1), С. 320 - 333

Опубликована: Окт. 6, 2021

A synergistic hetero-dihalogenated terminals strategy was systematically employed for the first time to enhance single-crystal packing, boosting device performance of a Y-BO-FCl:PM6 with remarkable PCE 17.52%.

Язык: Английский

Процитировано

140